import cv2
from matplotlib import pyplot as plt
import pandas as pd

fig = plt.figure(figsize=(10, 7))
rows = 2
columns = 2

<Figure size 720x504 with 0 Axes>

df = pd.read_csv("dataset.csv")
df

	Path	Label	Note
0	DSC_2701.JPG	1	NaN
1	DSC_2702.JPG	1	NaN
2	DSC_2703.JPG	2	NaN
3	DSC_2704.JPG	2	NaN
4	DSC_2706.JPG	2	NaN
...	...	...	...
117	IMG_9429.jpg	11	NaN
118	IMG_9430.jpg	11	NaN
119	IMG_9432.jpg	3	NaN
120	IMG_9433.jpg	3	NaN
121	IMG_9435.jpg	5	NaN

122 rows × 3 columns

print(len(df['Label']))

122

switch = {
    1: "Suknelė",
    2: "Švarkas",
    3: "Trumpas topas",
    4: "Ilgas topas",
    5: "Sijonas",
    6: "Suknele be rankovių",
    7: "Skarelė",
    8: "Paltas",
    9: "Striuke",
    10: "Marškiniai",
    11: "Kelnės"
}

# max 122
 
skip = 0
load = 121
columns = 5

fig = plt.figure(figsize=(28, load))

rows = int(load / 4)

for i in range(load):
    index = i + skip
    fig.add_subplot(rows, columns, index + 1)
    plt.imshow(cv2.imread("imgs/" + df['Path'][index]))
    plt.axis('off')
    plt.title(switch.get(int(df['Label'][index])))